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International Journal of Hidden Data Mining and Scientific Knowledge Discovery

  • Published by
  • EDT
  • Year publication
  • 2015
  • Frequency
  • 2
  • Article Publishing Frequency
  • 0
  • CGIJ OAJI
  • 0.000
  • Abbreviation
  • HDSKD
  • Country
  • Algeria
  • ISSN (print)
  • -
  • ISSN (online)
  • 2437-069X
  • Editor in Chief
  • Prof Halim Sayoud
  • ISI
  • All articles
  • 0
  • Date added to OAJI
  • 07 Jul 2015
  • Scopus
  • All issues
  • 0
  • Free access
  • DOAJ
  • Full text language
  • English
  • Journal discipline
  • Journals
  • Computer Science
  • 65
  • Journal description
  • Hidden data represents data or information that is more or less hidden, unseen or encrypted so that it becomes difficult to extract it. Scientific knowledge represents every information that comes by a scientific way, such as theories, experimental observations or scientific evidences of some phenomenon. The last term in the journal title, namely "Discovery" has a great importance, since it means that we are looking for scientific information particularly and hidden data in general. Authors are encouraged to submit their latest research results to the HDSKD journal Hence, we are proud to announce the opening of our first journal issue in hidden data mining and scientific knowledge discovery and encourage authors to submit their latest research results to HDSKD.
  • Journal is indexed by
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